The model, developed at Carnegie Mellon University, uses Wi-Fi signal disruptions to identify possible threats. Hempfield is ...

Unlike YR4, finding earlier observations of 3I/ATLAS to model where it might have come from was easier said than done. During ...

Abstract: In recent years, numerous efficient object detectors have emerged in computer vision. However, applying these models to remote sensing images remains challenging due to complex backgrounds, ...

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...

The passage of the interstellar object known as 3I/ATLAS through the inner solar system is prompting scientists and planetary ...

Binary classification is a type of image classification where you essentially train a model on two different labelled objects. Then, when you deploy the model, the ESP32 can calculate a percentage ...

Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts 02215, ...

Objects such as 'Oumuamua, Borisov and recently 3I/ATLAS have opened our eyes to the reality that outsiders regularly visit our solar system — and we're about to start spotting a whole lot more of ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...

This repository is the official implementation of LMM-Det, a simple yet effective approach that leverages a Large Multimodal Model for vanilla object Detection without relying on specialized detection ...